Job Overview

We are seeking a dedicated Data Analyst for an internship role at TwiLearn. This position is open to freshers with 0 to 1 year of work experience. The job is full-time and can be undertaken remotely, although candidates from Pune Division, Mumbai, Bangalore, Noida, Hyderabad, Kolkata, and Gurgaon are preferred. This is a fantastic opportunity to develop your skills in data analysis while working in a supportive and dynamic environment.

Qualifications and Skills

• Data Analysis (Mandatory skill): Essential for transforming data into actionable insights to support strategic business decisions.
• Python (Mandatory skill): Fundamental in processing datasets, executing statistical analysis, and automating tasks.
• Excel (Mandatory skill): Key tool for managing, manipulating, and analyzing data with formulas, models, and Visual Basic for Applications (VBA).
• SQL: Proficiency required for data retrieval, manipulation, and database management to harness organizational intelligence.
• Statistical Analysis: A solid understanding is crucial for making inferences and assessments from large datasets.
• Data Visualization: Ability to convert complex data insights into clear, understandable visuals using tools like Tableau.
• Critical Thinking: A capacity for logical reasoning and problem-solving essential for identifying trends and patterns in data.
• Problem Solving: Required to address and resolve data issues promptly, ensuring continuous data integrity and reliability.

Roles and Responsibilities

• Collecting and interpreting complex datasets in line with business objectives to deliver actionable insights.
• Develop, maintain, and support analytics tools, dashboards, and detailed reports for stakeholders.
• Utilize statistical techniques for analyzing and interpreting historical data to make recommendations.
• Collaborate closely with the IT and business teams to enhance data integration initiatives.
• Monitor and analyze data trends to provide insights during business reviews and decision-making processes.
• Optimize processes and automate reports to improve business operations and practices.
• Assist in the design and development of business intelligence reports and dashboards for decision-makers.
• Ensure compliance with data privacy regulations and uphold the integrity and quality of data.